Heart disease prediction system using machine learning algorithms(k-nearest neighbor and decision tree algorithm)
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OA: closed
Abstract
Discover a compelling approach to foreseeing cardiovascular health using the power of K-Nearest Neighbors (KNN) and Decision Tree algorithms. In this captivating study, we embark on a journey to construct a robust predictive model that aids in identifying potential heart disease cases. Through the fusion of KNN's data-driven proximity insights and Decision Tree's intuitive decision pathways, our methodology achieves unparalleled accuracy in early detection. Join us as we delve into the realm of predictive analytics, paving the way for a healthier tomorrow.
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- last seen: 2026-05-19T01:45:01.086888+00:00